IoT Application Engineer

Comau LLC
Job Description

Comau LLC is now creating a new team focused on Digital Manufacturing. For this reason we are looking for a IoT Application Engineer passionate about IoT, Cloud, Artificial Intelligence technologies willing to challenge him/herself with the next generation of intelligent machines that will drive the digital revolution.

Take ownership. Are you ready for a challenge?

In this role the ideal candidate will act as a network and think innovatively while executing the following responsibilities:

  • Identify and integrate hardware/sensors and develop software to manage IoT/Industry 4.0 applications
  • Prepare the controls architecture and approved Components List for IIot projects
  • Failure Mode Effects & Analysis assessments of Automation facilities/projects
  • Design circuit diagrams, Interconnections, BOMs, spare and long lead parts lists, documentation for installation team
  • Understands customer specifications (corporate and plant), standards, and local and/or national electric codes for use in designing hardware schematics and software programs
  • Other duties as required

Reports to: Head of Digital Product Management


This role is best suited for a candidate that possess the following qualifications:


  • Bachelor of Science degree in Electrical Engineer, Computer Science, Computer Engineering or related technical fields
  • Minimum of 3 years of engineering experience in similar field
  • General knowledge on Industrial Automation and Robotics fields
  • Experience in PLC programming, I/O configuration and debug
  • Able to provide application development and technical support for our customers (PLC, servo motion, HMI, Industrial PC)
  • Experience with common Fieldbuses (Ethernet/IP, Profinet, Profibus)
  • Experience, and/or Certifications on vibration analysis
  • Knowledge of RGB, ToF cameras and other vision sensors/systems including calibration and configuration
  • Programming experience in one or more of these languages: C, C++, Java, Python
  • Expertise in code debugging and the ability to understand and integrate state of the art libraries and frameworks into your work are important skills we value


  • Experience with Agile methodologies (SCRUM, Kanban)
  • Experience in Analytics and Machine Learning
  • Experience in using complex lab instruments and equipment such as DVM, Oscilloscopes, RF Power Meters, Spectrum Analyzers, Data BUS Analyzers, Data Acquisition Units, Environmental Temperature Chambers

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